157 lines
3.8 KiB
Markdown
157 lines
3.8 KiB
Markdown
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---
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title: Merge Sort
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TARGET DECK: Obsidian::STEM
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FILE TAGS: algorithm::sorting
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tags:
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- algorithm
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- sorting
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---
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## Overview
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Property | Value
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----------- | --------
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Best Case | $\Omega(n\lg{n})$
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Worst Case | $O(n\lg{n})$
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Avg. Case | $O(n\lg{n})$
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Aux. Memory | -
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Stable | -
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Adaptive | -
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![[merge-sort.gif]]
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%%ANKI
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Basic
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What does the term "merge" in merge sort refer to?
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Back: The primary operation used to combine array halves.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467101-->
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END%%
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%%ANKI
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Basic
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What is merge sort's best case runtime?
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Back: $\Omega(n\lg{n})$
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467109-->
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END%%
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%%ANKI
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Basic
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What is merge sort's worst case runtime?
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Back: $O(n\lg{n})$
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467112-->
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END%%
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%%ANKI
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Basic
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What is merge sort's average case runtime?
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Back: $O(n\lg{n})$
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467115-->
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END%%
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%%ANKI
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Basic
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What is the "divide" step of merge sort?
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Back: Divide the input array into two subarrays of half size.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467118-->
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END%%
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%%ANKI
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Basic
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What is the "conquer" step of merge sort?
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Back: Call merge sort on the "divide"-step's two subarrays.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467121-->
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END%%
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%%ANKI
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Basic
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What is the "combine" step of merge sort?
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Back: Merge the subarrays sorted after the "conquer" step.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467125-->
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END%%
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%%ANKI
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Basic
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When does merge sort "bottom out"?
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Back: When the sequence to be sorted has length 1 or less.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467133-->
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END%%
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```c
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static void merge(int i, int mid, int j, int *A) {
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int si = mid - i + 1;
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int sj = j - (mid + 1) + 1;
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int *L = malloc(sizeof(int) * (si + 1));
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int *R = malloc(sizeof(int) * (sj + 1));
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L[si] = INT_MAX;
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R[sj] = INT_MAX;
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for (int k = 0; k < si; ++k) {
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L[k] = A[i + k];
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}
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for (int k = 0; k < sj; ++k) {
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R[k] = A[mid + 1 + k];
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}
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int topL = 0, topR = 0;
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for (int k = 0; k < j - i + 1; ++k) {
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if (L[topL] < R[topR]) {
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A[i + k] = L[topL++];
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} else {
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A[i + k] = R[topR++];
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}
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}
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free(L);
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free(R);
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}
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void merge_sort(int i, int j, int *A) {
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if (j <= i) {
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return;
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}
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int mid = (i + j) / 2;
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merge_sort(i, mid, A);
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merge_sort(mid + 1, j, A);
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merge(i, mid, j, A);
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}
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```
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%%ANKI
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Basic
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Where in merge sort's implementation are sentinels useful?
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Back: As the last elements of the two arrays to combine.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467137-->
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END%%
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%%ANKI
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Basic
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What sentinel values are typically used in merge sort's "merge" operation?
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Back: $\infty$ or the record type's equivalent.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742467141-->
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END%%
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%%ANKI
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Basic
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What sorting algorithm does the following demonstrate?
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![[merge-sort.gif]]
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Back: Merge sort.
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Reference: Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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<!--ID: 1708742590435-->
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END%%
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## References
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* Thomas H. Cormen et al., *Introduction to Algorithms*, 3rd ed (Cambridge, Mass: MIT Press, 2009).
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